Description Usage Arguments Value Author(s) References See Also Examples

A measure of how correlated a variable is with those in a set is given by the
square root of the sum of squares of the correlation coefficients between the
variables and the other variables in the set (Cumming and Wooff, 2007). Here, the partial
correlation between the subset of the variables listed in `response`

that
are not listed in `include`

is calculated from the partial correlation matrix
for the subset, adjusting for those variables in `include`

. This is useful
for manually deciding which of the variables not in `include`

should next be
added to it.

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`obj` |
A |

`responses` |
A |

`include` |
A |

`...` |
allows passing of arguments to other functions. |

A `numeric`

giving the correlation measures.

Chris Brien

Cumming, J. A. and D. A. Wooff (2007) Dimension reduction via principal variables. *Computational Statistics
and Data Analysis*, **52**, 550–565.

`rcontrib`

, `rcontrib.data.frame`

, `PVA`

, `intervalPVA.data.frame`

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